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Visual Tracking Using Learned Linear Subspaces Jeffrey Ho‡ Kuang-Chih Lee† Ming-Hsuan Yang⋆ David Kriegman‡ [removed] [removed] [removed] [removed]
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Document Date: 2004-06-24 13:27:30

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Pixel / Jolla / Urbana / Mountain View / /

Company

Dell / Jepson / Mei / Microsoft / /

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pence / /

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Facility

San Diego University of Illinois / Weighted Least Square / Engineering Computer Science Honda Research Institute University of California / Boston University / University of Toronto / /

IndustryTerm

inner-products / Contour-based tracking algorithms / online appearance models / drift-less tracking algorithm / visual tracking algorithm / inner products / proposed tracking algorithm / subspace-based tracking algorithms / subspace update algorithms / update algorithm / /

OperatingSystem

Microsoft Windows / /

Organization

University of Illinois / Urbana-Champaign / National Science Foundation / University of California / San Diego University / Boston University / University of Toronto / Pattern Analysis and Machine Intelligence / /

Person

D. Comaniciu / V / David Kriegman / S. Huang / Ming-Hsuan Yang / /

Position

representative / /

ProgrammingLanguage

L / C++ / /

ProvinceOrState

Illinois / California / /

Technology

subspace-based tracking algorithms / update algorithm / 2.2 Update Algorithm / drift-less tracking algorithm / 3-D / proposed algorithm / 2 Tracking Algorithm / proposed tracking algorithm / Pixel-based algorithms / subspace update algorithms / subspace-based algorithm / visual tracking algorithm / CONDENSATION / Contour-based tracking algorithms / Image Processing / tracking algorithm / appearance-based algorithm / /

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http /

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